AIMC Journal:
bioRxiv

Showing 2711 to 2720 of 4979 articles

High-PepBinder: A pLM-Guided Latent Diffusion Framework for Affinity-Aware Target-Specific Peptide Design

bioRxiv Jan 19, 2026
Peptides, as therapeutic molecules, offer unique advantages in targeting complex protein surfaces, yet their rational design remains limited by the vastness of the sequence space and the constraints of traditional approaches. Here, we propose High-Pe...
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Neural signatures of model-based and model-free reinforcement learning across prefrontal cortex and striatum

bioRxiv Jan 18, 2026
Animals integrate knowledge about how the state of the environment evolves to choose actions that maximise reward. Such goal-directed behaviour - or model-based (MB) reinforcement learning (RL) - can flexibly adapt choice to changes, being thus disti...
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Normal Breast Tissue (NBT)-Classifiers: Advancing Compartment Classification in Normal Breast Histology

bioRxiv Jan 18, 2026
Background: Cancer research emphasises early detection, yet quantitative methods for analysing normal tissue remain limited. Hematoxylin and eosin (H&E)-stained tissues in digitised whole slide images (WSIs) enable computational histopathology; howev...
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SE3Bind: SE(3)-equivariant model for antibody-antigen binding affinity prediction

bioRxiv Jan 18, 2026
Predicting antibody-antigen binding affinity is critical for therapeutic development, but machine learning-based approaches to the problem are typically hampered by the small amount of available structural and affinity data. We introduce SE3Bind, an ...
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STRUCT2SEQ: RNA INVERSE FOLDING WITH DEEP Q-LEARNING

bioRxiv Jan 18, 2026
RNA molecules play critical roles in biology and therapeutics, with their function intimately tied to their secondary structure. Designing RNA sequences that reliably fold into desired secondary structures, especially those with complex pseudoknots, ...
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Fundamental limitations of genomic language models for realistic sequence generation

bioRxiv Jan 18, 2026
Large language models (LLMs) have shown remarkable success in natural language processing, prompting interest in their application to genomic sequence analysis. Genomic Language Models based on similar architectures offer a promising avenue for synth...
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Brain-like dynamics in speech representations can emerge through self-supervised learning

bioRxiv Jan 17, 2026
Speech representations in the human brain do not simply mirror the instantaneous speech signal; rather, they display several properties that are hypothesized to facilitate the integration of speech sounds into words. In particular, neural encodings o...
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Identification and Classification of Expressed Orphan Genes, Spurious Orphan Genes, and Conserved Genes in the Human Gut Microbiome

bioRxiv Jan 17, 2026
Orphan genes - genes lacking detectable homologs outside a species - are widespread in microbial genomes and are thought to contribute to their adaptation and molecular innovation. However, not all predicted orphan genes may represent novel functiona...
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High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model

bioRxiv Jan 16, 2026
Computation in recurrent networks of neurons has been hypothesized to occur at the level of low-dimensional latent dynamics, both in artificial systems and in the brain. This hypothesis seems at odds with evidence from large-scale neuronal recordings...
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Leveraging Unified Sequence-Structure Representations for Enhanced Protein Stability Prediction

bioRxiv Jan 16, 2026
Protein thermal stability, quantified by the change in Gibbs free energy ({Delta}{Delta}G) upon mutation, is critical for drug design and enzyme engineering. Current multi-modal deep learning models, despite integrating sequence, often struggle with ...
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